Jacob Eisenstein

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 98

Top Venues

CoRR

EMNLP

Trans. Assoc. Comput. Linguistics

HLT-NAACL

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR (2024)
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant
Robust Preference Optimization through Reward Model Distillation. CoRR (2024)
Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch
Transforming and Combining Rewards for Aligning Large Language Models. CoRR (2024)
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
Theoretical guarantees on the best-of-n alignment policy. CoRR (2024)
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
MD3: The Multi-Dialect Dataset of Dialogues. CoRR (2023)
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
Dialect-robust Evaluation of Generated Text. ACL (1) (2023)
Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR (2023)
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
MD3: The Multi-Dialect Dataset of Dialogues. INTERSPEECH (2023)
Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Martin Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein
Selectively Answering Ambiguous Questions. CoRR (2023)
Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein
Selectively Answering Ambiguous Questions. EMNLP (2023)
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
Dialect-robust Evaluation of Generated Text. CoRR (2022)
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR (2022)
Sandeep Soni, David Bamman, Jacob Eisenstein
Predicting Long-Term Citations from Short-Term Linguistic Influence. CoRR (2022)
Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification. CoRR (2022)
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23 (2022)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10 (2022)
Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model. CoRR (2022)
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
Time-Aware Language Models as Temporal Knowledge Bases. Trans. Assoc. Comput. Linguistics 10 (2022)
Jacob Eisenstein
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language. NAACL-HLT (2022)
Sandeep Soni, David Bamman, Jacob Eisenstein
Predicting Long-Term Citations from Short-Term Linguistic Influence. EMNLP (Findings) (2022)
Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Raluca Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR (2022)
Jacob Eisenstein
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language. CoRR (2022)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR (2021)
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
Counterfactual Invariance to Spurious Correlations in Text Classification. NeurIPS (2021)
Sandeep Soni, Kristina Lerman, Jacob Eisenstein
Follow the leader: Documents on the leading edge of semantic change get more citations. J. Assoc. Inf. Sci. Technol. 72 (4) (2021)
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
Time-Aware Language Models as Temporal Knowledge Bases. CoRR (2021)
Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. CoRR (2021)
Sandeep Soni, Lauren F. Klein, Jacob Eisenstein
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers. CoRR (2021)
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
Learning to Recognize Dialect Features. NAACL-HLT (2021)
Ian Stewart, Diyi Yang, Jacob Eisenstein
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media. CoRR (2021)
Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
Sparse, Dense, and Attentional Representations for Text Retrieval. Trans. Assoc. Comput. Linguistics 9 (2021)
Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR (2021)
Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. CoRR (2021)
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests. CoRR (2021)
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR (2020)
Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. CoRR (2020)
Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein
Will it Unblend? EMNLP (Findings) (2020)
Ian Stewart, Diyi Yang, Jacob Eisenstein
Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events. ICWSM (2020)
Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein
Learning to Recognize Dialect Features. CoRR (2020)
Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
Sparse, Dense, and Attentional Representations for Text Retrieval. CoRR (2020)
Yong Cheng, Lu Jiang, Wolfgang Macherey, Jacob Eisenstein
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation. ACL (2020)
Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
How We Do Things With Words: Analyzing Text as Social and Cultural Data. Frontiers Artif. Intell. 3 (2020)
Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein
Will it Unblend? CoRR (2020)
Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers. CD@KDD (2019)
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. CoRR (2019)
Ian Stewart, Diyi Yang, Jacob Eisenstein
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events. CoRR (2019)
Xiaochuang Han, Jacob Eisenstein
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. EMNLP/IJCNLP (1) (2019)
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
Clinical Concept Extraction for Document-Level Coding. CoRR (2019)
Yuval Pinter, Marc Marone, Jacob Eisenstein
Character Eyes: Seeing Language through Character-Level Taggers. CoRR (2019)
Xiaochuang Han, Jacob Eisenstein
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English. CoRR (2019)
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. W-NUT@EMNLP (2019)
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. ACL (1) (2019)
Sandeep Soni, Kristina Lerman, Jacob Eisenstein
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations. CoRR (2019)
Sandeep Soni, Lauren F. Klein, Jacob Eisenstein
Correcting Whitespace Errors in Digitized Historical Texts. LaTeCH@NAACL-HLT (2019)
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL (2019)
Yuval Pinter, Marc Marone, Jacob Eisenstein
Character Eyes: Seeing Language through Character-Level Taggers. BlackboxNLP@ACL (2019)
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. CoRR (2019)
Jacob Eisenstein
Measuring and Modeling Language Change. NAACL-HLT (Tutorial Abstracts) (2019)
Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
How we do things with words: Analyzing text as social and cultural data. CoRR (2019)
Ian Stewart, Jacob Eisenstein
Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline. EMNLP (2018)
Yuval Pinter, Jacob Eisenstein
Predicting Semantic Relations using Global Graph Properties. CoRR (2018)
Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein
Discriminative Modeling of Social Influence for Prediction and Explanation in Event Cascades. CoRR (2018)
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
Explainable Prediction of Medical Codes from Clinical Text. CoRR (2018)
Yuval Pinter, Jacob Eisenstein
Predicting Semantic Relations using Global Graph Properties. EMNLP (2018)
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
Explainable Prediction of Medical Codes from Clinical Text. NAACL-HLT (2018)
Ian Stewart, Yuval Pinter, Jacob Eisenstein
Sí o no, què penses? Catalonian Independence and Linguistic Identity on Social Media. CoRR (2018)
Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. CoRR (2018)
Scott F. Kiesling, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein
Interactional Stancetaking in Online Forums. Comput. Linguistics 44 (4) (2018)
Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy S. Bruckman, Cliff Lampe, Jacob Eisenstein, Eric Gilbert
The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Murali Raghu Babu Balusu, Taha Merghani, Jacob Eisenstein
Stylistic Variation in Social Media Part-of-Speech Tagging. CoRR (2018)
Ian Stewart, Yuval Pinter, Jacob Eisenstein
Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media. NAACL-HLT (2) (2018)
Jacob Eisenstein
Unsupervised Learning for Lexicon-Based Classification. AAAI (2017)
Ian Stewart, Stevie Chancellor, Munmun De Choudhury, Jacob Eisenstein
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation. CoRR (2017)
Yuval Pinter, Robert Guthrie, Jacob Eisenstein
Mimicking Word Embeddings using Subword RNNs. EMNLP (2017)
Yuval Pinter, Robert Guthrie, Jacob Eisenstein
Mimicking Word Embeddings using Subword RNNs. CoRR (2017)
Ian Stewart, Stevie Chancellor, Munmun De Choudhury, Jacob Eisenstein
#Anorexia, #anarexia, #anarexyia: Characterizing online community practices with orthographic variation. IEEE BigData (2017)
Dong Nguyen, Jacob Eisenstein
A Kernel Independence Test for Geographical Language Variation. Comput. Linguistics 43 (3) (2017)
Umashanthi Pavalanathan, Jim Fitzpatrick, Scott F. Kiesling, Jacob Eisenstein
A Multidimensional Lexicon for Interpersonal Stancetaking. ACL (1) (2017)
Eshwar Chandrasekharan, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, Eric Gilbert
You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech. Proc. ACM Hum. Comput. Interact. 1 (CSCW) (2017)
Ian Stewart, Jacob Eisenstein
Making "fetch" happen: The influence of social and linguistic context on the success of lexical innovations. CoRR (2017)
Yi Yang, Jacob Eisenstein
Overcoming Language Variation in Sentiment Analysis with Social Attention. Trans. Assoc. Comput. Linguistics 5 (2017)
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models. CoRR (2016)
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. EMNLP (2016)
Dong Nguyen, Jacob Eisenstein
A Kernel Independence Test for Geographical Language Variation. CoRR (2016)
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. CoRR (2016)
Akanksha, Jacob Eisenstein
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization. CoRR (2016)
Jacob Eisenstein
Unsupervised Learning for Lexicon-Based Classification. CoRR (2016)
Umashanthi Pavalanathan, Jacob Eisenstein
More emojis, less : ) The competition for paralinguistic function in microblog writing. First Monday 21 (11) (2016)
Naman Goyal, Jacob Eisenstein
A Joint Model of Rhetorical Discourse Structure and Summarization. SPNLP@EMNLP (2016)
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein
The Social Dynamics of Language Change in Online Networks. CoRR (2016)
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
Morphological Priors for Probabilistic Neural Word Embeddings. EMNLP (2016)
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. HLT-NAACL (2016)
Yi Yang, Jacob Eisenstein
Part-of-Speech Tagging for Historical English. HLT-NAACL (2016)
Vinodh Krishnan Elangovan, Jacob Eisenstein
Nonparametric Bayesian Storyline Detection from Microtexts. CoRR (2016)
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein
The Social Dynamics of Language Change in Online Networks. SocInfo (1) (2016)
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
Morphological Priors for Probabilistic Neural Word Embeddings. CoRR (2016)
Yi Yang, Jacob Eisenstein
Part-of-Speech Tagging for Historical English. CoRR (2016)
Umashanthi Pavalanathan, Jacob Eisenstein
Confounds and Consequences in Geotagged Twitter Data. EMNLP (2015)
Yi Yang, Jacob Eisenstein
Unsupervised Domain Adaptation with Feature Embeddings. ICLR (Workshop) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jacob Eisenstein